geovista-slam
GeoVista utility to convert CF UGRID Local Area Model quad-cell meshes into structured rectilinear or curvilinear grids.
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Installation
geovista-slam is available on conda-forge and PyPI.
We recommend using mamba to install geovista-slam 👍
conda
geovista-slam is available on conda-forge, and can be easily installed with conda:
conda install -c conda-forge geovista-slam
or alternatively with mamba:
mamba install -c conda-forge geovista-slam
For more information see our conda-forge feedstock.
pip
geovista-slam is also available on PyPI:
pip install geovista-slam
However, complications may arise due to the cartopy package dependencies.
License
geovista-slam is distributed under the terms of the BSD-3-Clause license.
#ShowYourStripes
Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.
Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.
#ShowYourStripes is distributed under a
Creative Commons Attribution 4.0 International License
5 maintainers
Release files for geovista-slam 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geovista_slam-0.1.4.tar.gz | 20.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geovista_slam-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.3 kB
Release files / geovista_slam-0.1.4.tar.gz
| Download URL | geovista_slam-0.1.4.tar.gz |
|---|---|
| Size | 20.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 14, 2025.
Transparency logRelease files / geovista_slam-0.1.4-py3-none-any.whl
| Download URL | geovista_slam-0.1.4-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
16a1fb5e1f879759dc208108477305e48c86f66f43ac9262751620bd5967b5b8
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|
BLAKE2b-256 checksum How to use checksums |
4e59ccd608312c472188a5adf44c14f5fd43251b9e2f90df0177e128a86228fb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 14, 2025.
Transparency log
